ArticleNature communications2024
Predicting COVID-19 booster immunogenicity against future SARS-CoV-2 variants and the benefits of vaccine updates.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Pre-vaccination immune signatures of children with inborn errors of immunity associate with COVID-19 vaccine response.Human vaccines & immunotherapeutics · 2026Article
- Integrating Genomic Data into Test-negative Designs for Estimating Lineage-specific COVID-19 Vaccine Effectiveness.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026Article
- Article
- Variant-specific antibody correlates of protection against SARS-CoV-2 Omicron symptomatic and overall infections.Nature communications · 2025Article
- RSV F evolution escapes some monoclonal antibodies but does not strongly erode neutralization by human polyclonal sera.Journal of virology · 2025Article
- Trans amplifying mRNA vaccine expressing consensus spike elicits broad neutralization of SARS CoV 2 variants.NPJ vaccines · 2025Article
- Article
- RSV F evolution escapes some monoclonal antibodies but does not strongly erode neutralization by human polyclonal sera.bioRxiv : the preprint server for biology · 2025Article
- The immunological impact of revaccination in a hybrid-immune world.Frontiers in immunology · 2025Review
- Predicting pathogen evolution and immune evasion in the age of artificial intelligence.Computational and structural biotechnology journal · 2025Review
- Vaccination and COVID-19: impact on long-COVID.Frontiers in immunology · 2025Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
The ongoing evolution of the SARS-CoV-2 virus has led to a move to update vaccine antigens in 2022 and 2023. These updated antigens were chosen and approved based largely on in vitro neutralisation titres against recent SARS-CoV-2 variants. However, unavoidable delays in vaccine manufacture and distribution meant that the updated booster vaccine was no longer well-matched to the circulating SARS-CoV-2 variant by the time of its deployment. Understanding whether the updating of booster vaccine antigens improves immune responses to subsequent SARS-CoV-2 circulating variants is a major priority in justifying future vaccine updates. Here we analyse all available data on the immunogenicity of variants containing SARS-CoV-2 vaccines and their ability to neutralise later circulating SARS-CoV-2 variants. We find that updated booster antigens give a 1.4-fold [95% CI: 1.07-1.82] greater increase in neutralising antibody levels when compared with a historical vaccine immunogen. We then use this to predict the relative protection that can be expected from an updated vaccine even when the circulating variant has evolved away from the updated vaccine immunogen. These findings help inform the rollout of future booster vaccination programmes.
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Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.